Anjana Wijekoon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
11
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ECAI | Few-Shot Essay Grading: Weighted Prototypical Networks for Ordinal Text Classification. | Vihanga Ashinsana Wijayasekara, Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Anjana Wijekoon |
| 2024 | ECAI | iSee: Advancing Multi-Shot Explainable AI Using Case-Based Recommendations. | Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Marta Caro-Martnez, Beln Daz-Agudo, Derek G. Bridge, Anne Liret |
| 2023 | ECAI | Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-Based NLG Method. | Pedram Salimi, Nirmalie Wiratunga, David Corsar, Anjana Wijekoon |
| 2023 | ESORICS | Mitigating Gradient Inversion Attacks in Federated Learning with Frequency Transformation. | Chamath Palihawadana, Nirmalie Wiratunga, Harsha Kalutarage, Anjana Wijekoon |
| 2023 | ICCBR | The Current and Future Role of Visual Question Answering in eXplainable Artificial Intelligence. | Marta Caro-Martnez, Anjana Wijekoon, Beln Daz-Agudo, Juan A. Recio-Garca |
| 2023 | ICCBR | Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR. | Ikechukwu Nkisi-Orji, Chamath Palihawadana, Nirmalie Wiratunga, Anjana Wijekoon, David Corsar |
| 2023 | ICCBR | AGREE: A Feature Attribution Aggregation Framework to Address Explainer Disagreements with Alignment Metrics. | Craig Pirie, Nirmalie Wiratunga, Anjana Wijekoon, Carlos Francisco Moreno-Garca |
| 2023 | ICCBR | CBR Driven Interactive Explainable AI. | Anjana Wijekoon, Nirmalie Wiratunga, Kyle Martin, David Corsar, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Derek G. Bridge, Preeja Pradeep, Beln Daz-Agudo, Marta Caro-Martnez |
| 2023 | ICCS | Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. | Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie |
| 2023 | IUI | iSee: Intelligent Sharing of Explanation Experience by Users for Users. | Anjana Wijekoon, Nirmalie Wiratunga, Chamath Palihawadana, Ikechukwu Nkisi-Orji, David Corsar, Kyle Martin |
| 2023 | SGAI | Clinical Dialogue Transcription Error Correction with Self-supervision. | Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon |
| 2022 | ICCBR | Conceptual Modelling of Explanation Experiences Through the iSeeOnto Ontology. | Marta Caro-Martnez, Anjana Wijekoon, Juan A. Recio-Garca, David Corsar, Ikechukwu Nkisi-Orji |
| 2022 | ICCBR | iSee: Intelligent Sharing of Explanation Experiences. | Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga, Chamath Palihawadana, Ikechukwu Nkisi-Orji, David Corsar, Beln Daz-Agudo, Juan A. Recio-Garca, Marta Caro-Martnez, Derek Bridge, Preeja Pradeep, Anne Liret, Bruno Fleisch |
| 2022 | ICCBR | Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud. | Ikechukwu Nkisi-Orji, Chamath Palihawadana, Nirmalie Wiratunga, David Corsar, Anjana Wijekoon |
| 2022 | ICCBR | Introducing Clood CBR: A Cloud Based CBR Framework. | Chamath Palihawadana, Ikechukwu Nkisi-Orji, Nirmalie Wiratunga, David Corsar, Anjana Wijekoon |
| 2022 | ICCBR | How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations. | Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Chamath Palihawadana, David Corsar, Kyle Martin |
| 2021 | ICCBR | Actionable Feature Discovery in Counterfactuals using Feature Relevance Explainers. | Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar |
| 2021 | ICTAI | DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. | Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar |
| 2021 | SGAI | Reasoning with Counterfactual Explanations for Code Vulnerability Detection and Correction. | Anjana Wijekoon, Nirmalie Wiratunga |
| 2020 | EANN | Evaluating the Transferability of Personalised Exercise Recognition Models. | Anjana Wijekoon, Nirmalie Wiratunga |
| 2020 | FlAIRS | Learning to Recognise Exercises in the Self-Management of Low Back Pain. | Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper, Kerstin Bach |
| 2020 | ICCBR | Learning to Compare with Few Data for Personalised Human Activity Recognition. | Nirmalie Wiratunga, Anjana Wijekoon, Kay Cooper |
| 2020 | IJCNN | Heterogeneous Multi-Modal Sensor Fusion with Hybrid Attention for Exercise Recognition. | Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper |
| 2020 | SGAI | Personalised Meta-Learning for Human Activity Recognition with Few-Data. | Anjana Wijekoon, Nirmalie Wiratunga |
| 2019 | ICCBR | Workshop preface. | Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie |
| 2019 | ICCBR | Human Activity Recognition with Deep Metric Learners. | Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga |
| 2019 | IJCAI | Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. | Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen J. McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri |
| 2018 | ICCBR | Improving kNN for Human Activity Recognition with Privileged Learning Using Translation Models. | Anjana Wijekoon, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Kay Cooper |